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Google Introduces Personalized Conversations in Gemini AI Chatbot
Google announced new features to make Gemini, the tech giant’s flagship AI model, a more personal AI assistant for users this Thursday. The company also introduced enhancements to the model’s Deep Research feature, updates to the 2.0 Flash Thinking Experimental model, and released its Gems feature to customize AI models to all users.
In a Rush? Here are the Quick Facts!
- Google is making Gemini more personal by integrating user data from Google apps for tailored AI responses.
- The new personalization feature in Gemini lets users get AI-powered recommendations based on their past searches.
- Google expands its AI offerings, making its Gems customization feature free for all users.
According to Google’s announcement, a new feature called personalization will connect users’ Google apps and services, including Search history, allowing the AI chatbot to provide tailored responses.
“For example, you can ask Gemini for restaurant recommendations and it will reference your recent food-related searches, or ask for travel advice and Gemini will respond based on destinations you’ve previously searched,” explained Dave Citron, Senior Director of Product Management for the Gemini app at Google.
The feature is still in a beta version. Users interested in testing the new technology must select “ Personalization (experimental)” from the drop-down options in the model’s platform. It can also be disconnected anytime.
Through the Gemini 2.0 Flash Thinking Experimental program, the tech giant has enhanced its Deep Research feature to provide more detailed and higher-quality responses. The model also integrates with the Chinese model DeepSeek, allowing users to choose their preferred AI assistant for queries.
A few weeks ago, Google’s competitor OpenAI released its deep research feature for paid subscribers.
Google’s Gems, previously available only to Gemini Advanced subscribers, is now accessible to all users at no extra cost. This AI tool enables users to personalize “AI experts” on their preferred topics and upload files, allowing the model to reference specific information.
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